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Big data, data mining and machine learning : (Record no. 10609)

MARC details
000 -LEADER
fixed length control field 03467cam a2200433 i 4500
001 - CONTROL NUMBER
control field 18053182
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230606063501.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140303s2014 njua b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014005823
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118618042 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.2
Item number .D39 2014
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.05631
Edition number 23
Item number D.J.B
084 ## - OTHER CLASSIFICATION NUMBER
Classification number COM021030
Source of number bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dean, Jared,
Dates associated with a name 1978-
Relator term author
9 (RLIN) 33312
245 10 - TITLE STATEMENT
Title Big data, data mining and machine learning :
Remainder of title value creation for business leaders and practitioners /
Statement of responsibility, etc Jared Dean.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc John Wiley and Sons, Inc.,
Date of publication, distribution, etc [2014]
300 ## - PHYSICAL DESCRIPTION
Extent xix, 265 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Wiley & SAS business series
500 ## - GENERAL NOTE
General note engineering bookfair2016
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 247-251) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Hardware --<br/>Distributed systems --<br/>Analytical tools --<br/>Predictive modeling --<br/>Common predictive modeling techniques --<br/>Segmentation --<br/>Incremental response modeling --<br/>Time series date mining --<br/>Recommendation systems --<br/>Text analytics --<br/>Case study of a large U.S.-based financial services company --<br/>Case study of a major health care provider --<br/>Case study of a technology manufacturer --<br/>Case study of online brand management --<br/>Case study of mobile application recommendations --<br/>Case study of a high-tech product manufacturer --<br/>Looking to the future.
520 ## - SUMMARY, ETC.
Summary, etc "An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information technology
General subdivision Management.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Database Management / Data Mining.
Source of heading or term bisacsh
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Online version:
Main entry heading Dean, Jared, 1978-
Title High performance data mining and machine learning
Place, publisher, and date of publication Hoboken, New Jersey : John Wiley and Sons, Inc., [2014]
International Standard Book Number 9781118920695
Record control number (DLC) 2014009116
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Acquisition method Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     Faculty of Engineering & Technology (Mechanical) Main library Main library B5 15/02/2016 Sphinx publishing 210.00 Purchase   658.05631 D.J.B 00012525 19/02/2025 15/02/2016 Books